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The greatest reduction observed when the highest concentration is utilized with the result was from 131.74° to 39.77o.
No data clearly shows the precise quantity or range of JNS's utilization in the commercial EOR industry.
Fig. 2. exhibits the XRD characterization result data.
The data reported matches PDF 45-0131 and PDF 45-0111 which state SiO2 [13].
Moreover, Janus nanosilica is efficiently employed to alter the surface properties to shift from oil-wet to water-wet, as seen by a reduction in the contact angle, with the greatest reduction observed when the highest concentration is utilized.

To understand the phase purity and crystal structure, XRD of samples before and after reduction have been studied.
Before reduction, as-synthesized α-Fe2O3nanoeggs are single rhombohedral phase and match well with the standard magnetic diffraction data α-Fe2O3.
After chemical reduction at high temperature, the phase is converted to cubic inverse spinal phase Fe3O4.
We can see that the phase before and after reduction are purity and no other impurities are appeared.
Fig. 2 XRD profiles of as-synthesized a-Fe2O3nanoeggs and after chemical reduction to Fe3O4nanoeggs.

In this test we select the data with reference to the data from the direct shearing test of Guoxiong Tao’s and the model pile test of Yanguan Yang’s.
This proves that the test data may be smaller.
At each end of the curve, the simulated data value are substantially greater than the experimental data value, the reason is same as the clay, which is also caused by reduction of shear area.
This proves that the test data may be smaller.
The simulated results fit the experiment data quite well.

The influence of thickness-length ratio and scale effect are considered by introducing the reduction factor of equivalent constraints and concrete strength reduction factor, respectively.
By introducing concrete strength reduction factor [3] and the reduction factor of equivalent constraints [4], which have respectively considered scale effect and the influence of thickness-length ratio, the confinement of square steel tube towards concrete can be equivalent to the confinement of circular steel tube towards it [3-7].
And the numerical results are compared with analytical results and experimental data and good agreement can be observed.
Accordingly, both of the finite element results and theoretical calculation are in good agreement with the experimental data.
(a) Specimen S4L,S4H (b) Specimen I-1,I-2 (c) Specimen H-1~H-9 Figure 2 Stress Contour of STCCFWSRC (Longitudinal) Figure 3 Load Displacement Curve Conclusions From the above analysis it can be concluded that: (1) Both the analytical results and the numerical results agree well with experimental data

Within this context, evaluate the reduction of iron ore pellets using the dilatometer technique constitutes a promising approach for optimizing this process.
The results indicate the sintering progress of the particles that comprise the pellets as well as reduction the porosity.
Densification of powder compacts during sintering under constant heating rate has been studied and methods of analysing the densification kinetic data have been suggested [2].
Data obtained in the shrinkage or swelling of a pellet from dilatometer can be usually generalized as behavior macroscopic of a porous body.
Model Kinetic The kinetic data dilatometer analysis were used to evaluate the kinetics of densification of iron ore pellet.

Saboori et al. [11] have determined the extrusion energy for the two optimal conical and curved dies, for aluminum and lead billets, in forward and backward extrusion by using FEM with verification of experimental data..
It is observed that at 90% reduction the extrusion load increases drastically.
It is observed that extrusion pressure increases with increase in reduction.
The extrusion pressure has been predicted for different reductions.
It is observed that extrusion pressure increases with increases in reduction.

Stress integral method, overload method and strength reduction method Stress integral method [1, 2].
Strength reduction method [4, 5].
In 1975, the concept of shear strength reduction factor is firstly proposed in geotechnological elastic-plastic finite element analysis by O.C.Zienkiewicz.
Strength reserve coefficient method consider that, it was difficult to accurately determine the material strength parameters of dam body and foundation because of a variety of erratic factors, and it often lack sufficient experimental data and empirical data, resulting in that the actual strength of the material may be lower than the required strength in design standards, while the dam strength parameters may also decline during the long operation period.
It shows the relationship between the strength reduction factor and displacement increment in typical dam site before and after treatment in Fig. 4 (a) and (b) respectively, the general strength reduction safety factor of untreated foundation is 1.9, and the strength reduction safety factor is improved to be 4.2 after reinforcement.

Feature Extraction based on Principal Component Analysis When an algorithm has to process a huge input data, or when this input data is suspected to be redundant, this data will be transformed into a representation set of features.
The data is acquired using an OROS OR36 system.
Fig. 3b shows the results of applying PCA with no data reduction.
Nonlinear Dimensionality Reduction.
Intelligent Data Analysis, 1(1-4):131- 156, 1997

We extract the normal data to train the detector.
It is regarded as normal behavior which is in the circle and as anomaly behavior if it is beyond this range. ④ Dimensionality Reduction Mapping Data produced by security system in real time should send to the detector after data pre-processing.
All abnormal data detected are converted to RPES coordinate through dimensionality reduction.
Data are KDD99 data set.
The experiments also display normal data in order to contrast with abnormal data.

Size controlled synthesis of Fe3O4 nanoparticles by ascorbic acid mediated reduction of Fe(acac)3 without using capping agent Ajinkya G.
It can be observed that temperature affects on the rate of reduction of Fe(acac)3 by ascorbic acid.
Fig. 5 shows the XRD pattern of the powder sample formed by reduction of Fe(acac)3.
All the peaks in Figure (5) can be indexed as pure Fe3O4 phase with inverse spinel structure and matched well with the reported data (JCPDS:65-3107).
XRD and TEM data shows Fe3O4 nanoparticles of size 15nm±4 nm.